Project Details:
PI:
Randall Guensler
Participating University:
Georgia Institute of Technology
Type:
Safety
Project Details:
Traditionally, transportation is understood as the physical displacement of people, goods, and vehicles. Information technology is often used to model the system or to optimize the system. Here, however, we see information as the essence of the system. In the social networked paradigm we reconceptualize transportation as an information ecosystem in an institutional landscape. This project will analyze information flows and institutions in surface transportation in order to promote new information services. It attempts to illuminate the evolving role of state DOTs as transportation becomes more information intensive.
Objectives / Tasks:
Task 1: Theory: Develop a Class on Social Networked Transportation
Task 2: Distill Lessons from the IT and Energy Sectors
Task 3: Survey and Analysis of Transportation Systems
Task 4: Toward Action: Trends, Visions and Strategies for Transportation
PI:
Hans Klein
Participating University:
Georgia Institute of Technology
Type:
Policy/Workforce
Project Details:
With continued interest in the efficient use of roadways the ability to monitor the use of HOV/HOT lanes is essential for management, planning and operation. A system to reliably monitor these lanes on a continuous basis and provide usage statistics would be very helpful in supporting management operations and decision making. In this study we evaluated the potential of an imaging system that would be installed on the median wall of HOV/HOT lanes to acquire data on the vehicles using the lanes and the occupancy of these vehicles. A lab prototype consisting of an IR illuminator, a camera, vehicle trigger, a computer and software to control the system was integrated and evaluated. Data was taken at GTRI facilities, sites on the Georgia Tech campus and also on Interstate 85. The images taken were then analyzed for their ability to provide the information needed on the usage of the lanes. The results indicate that it would be possible to build a system that would be able to provide the data needed to support the operation of HOV/HOT lanes.
Publications:
PI:
Wayne Daley, Colin Usher
Participating University:
Georgia Institute of Technology
Type:
Asset Management
Mobility